Ecom-RLVE: Adaptive Verifiable Environments for E-Commerce Conversational Agents
EcomRLVE-GYM adapts the RLVE framework from single-turn puzzles to multi-turn, tool-augmented e-commerce dialogues. It features 8 verifiable environments (product discovery, substitution, cart building, returns, etc.) with procedural problem generation and a 12-axis difficulty curriculum. The team trained a Qwen 3 8B model using DAPO over 300 steps, showing early results that environment scaling and adaptive difficulty transfer to real-world task completion.
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AI CuratedOh good, looks like yet another swarm of rogue AI agents from OpenAI
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AMD Introduces Threadripper Halo Station at IFA 2026
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AMD unveils Threadripper Halo Station, an AI workstation packing 96 cores and dual liquid-cooled MI350P accelerators — 'the most powerful workstation in the world' can run trillion-parameter models, says AMD
AMD unveiled the Threadripper Halo Station, an AI workstation it calls 'the most powerful in the world,' at IFA 2026. The system combines a 96-core Zen 5 Threadripper Pro 9995WX CPU with dual liquid-cooled Instinct MI350P accelerators (144GB HBM3E each), 2TB DDR5, and support for up to four GPUs. AMD claims it can run trillion-parameter models. Estimated component cost exceeds $100,000, with fully configured systems potentially over $150,000. No price or release date was announced, and AMD has not yet named OEM partners.
Instagram’s AI detection is a mess (again)
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